Q

Qualitate

AI-driven primary intelligence platform for research

Lead Research Analyst - Semiconductors & Technology Hardware

Equity & Credit ResearchConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 4 years of professional experience creating data-driven research in equity research, financial analysis, market research, and/or consulting.
  • Understand the fundamental research workflow, including how funds source ideas and build conviction through data and primary research, and how the platform fits into that process.
  • Know the metrics relevant to semiconductor and hardware investment decisions, including utilization, bookings, lead times, and channel inventory, and how they compare with consensus opinion.
  • Have in-depth knowledge of semiconductor and hardware sectors, including semiconductors, electronic design automation, foundry and advanced packaging, semiconductor capital equipment, data centers and supply chains, networking and compute hardware, and emerging fields.
  • Have strong long-form and short-form writing expertise and be able to synthesize data into digestible, forward-looking insights.
  • Be comfortable speaking with investors and corporate strategy clients as an authority on semiconductors and technology hardware.
  • Experiment with artificial intelligence tools and agents, incorporate them into daily workflows to automate work and improve productivity, and share learnings with the team.
  • Be proficient in managing and analyzing large datasets.
  • Understand where useful information sits across the industry value chain, including fab and test operations, equipment field service, outsourced semiconductor assembly and test, distribution, hyperscaler procurement, and colocation procurement.

Responsibilities

  • Design semiconductor coverage from the ground up by deciding which markets and companies to track, which value-chain stakeholders to interview, and which questions generate actionable forward-looking signals.
  • Use proprietary datasets to uncover company and market trends across semiconductors, electronic design automation, semiconductor capital equipment, artificial intelligence infrastructure, data centers, and technology hardware supply chains for investment funds and corporate clients.
  • Develop forward-looking analyses and uncover industry dynamics, key growth drivers, and demand shifts across accelerator and custom silicon demand, node and foundry transitions, advanced packaging and high-bandwidth memory capacity, lead times and inventory positioning, and power and land constraints shaping data center buildout.
  • Create thought leadership content for the newsletter and client communications.
  • Communicate actionable insights to clients and prospects through calls, webinars, and events.
  • Contribute domain expertise and research judgment to improve the fidelity of the first-to-market research methodology.
  • Partner with product and engineering teams on design to advance the artificial intelligence-native research platform.
  • Monitor emerging trends, technologies, and innovators in compute and connectivity, including advanced packaging, optical interconnect, low Earth orbit constellations, and satellite hardware.
  • Define what semiconductor and technology hardware information to collect, from whom, and how often, and develop it into a research product.
  • Own coverage strategy and research direction in the semiconductor and technology hardware space, identifying emerging areas of focus.

Desired Qualifications

  • SQL experience is strongly preferred.

About the Company

Qualitate

AI-driven primary intelligence platform for research

Qualitate provides an AI-powered primary intelligence platform that automates and scales expert research for investment and strategy teams. Its AI Moderator runs thousands of one-on-one expert interviews in parallel, handling study design, recruitment, moderation, and insight generation, and it outputs quantified time-series data with a growing transcript library to continually train the AI. By vertically integrating panels, technology, and insights, it replaces fragmented research with a single continuous intelligence solution used by enterprises, hedge funds, PE, VC, and asset managers for competitive intelligence and due diligence. Its goal is to help clients make faster, data-driven decisions by delivering high-quality intelligence in days at a lower cost than traditional methods.

Company size
11-50
Company stage
Series A
Total funding
$32M
Headquarters
New York City, New York
Founded
2024

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